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Found 8 papers, 1 papers with code
Implicit Neural Representation for Physics-driven Actuated Soft Bodies
Active soft bodies can affect their shape through an internal actuation mechanism that induces a deformation.
Near-realtime Facial Animation by Deep 3D Simulation Super-Resolution
We present a neural network-based simulation super-resolution framework that can efficiently and realistically enhance a facial performance produced by a low-cost, realtime physics-based simulation to a level of detail that closely approximates that of a reference-quality off-line simulator with much higher resolution (26x element count in our examples) and accurate physical modeling.
Raw Produce Quality Detection with Shifted Window Self-Attention
Global food insecurity is expected to worsen in the coming decades with the accelerated rate of climate change and the rapidly increasing population.
Knowledge Transfer by Discriminative Pre-training for Academic Performance Prediction
Then, the discriminator takes an interaction sequence where the masked tokens are replaced by the generator's outputs, and is trained to predict the originalities of all tokens in the sequence.
Consistency and Monotonicity Regularization for Neural Knowledge Tracing
Knowledge Tracing (KT), tracking a human's knowledge acquisition, is a central component in online learning and AI in Education.
SAINT+: Integrating Temporal Features for EdNet Correctness Prediction
We propose SAINT+, a successor of SAINT which is a Transformer based knowledge tracing model that separately processes exercise information and student response information.
Ranked #1 on
Knowledge Tracing
on EdNet
Assessment Modeling: Fundamental Pre-training Tasks for Interactive Educational Systems
However, such methods fail to utilize the full range of student interaction data available and do not model student learning behavior.
Physics-Aware Flow Data Completion Using Neural Inpainting
In this paper we propose a physics-aware neural network for inpainting fluid flow data.
